| Calibration and stability analysis of the VLP-16 laser scanner CL Glennie, A Kusari, A Facchin The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016 | 99 | 2016 |
| Optimization of legacy lidar data sets for measuring near‐field earthquake displacements CL Glennie, A Hinojosa‐Corona, E Nissen, A Kusari, ME Oskin, ... Geophysical Research Letters 41 (10), 3494-3501, 2014 | 60 | 2014 |
| Change detection from differential airborne LiDAR using a weighted anisotropic iterative closest point algorithm X Zhang, C Glennie, A Kusari IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 44 | 2015 |
| Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles A Kusari, P Li, H Yang, N Punshi, M Rasulis, S Bogard, DJ LeBlanc 2022 IEEE Intelligent Vehicles Symposium (IV), 829-835, 2022 | 29 | 2022 |
| Vehicle adaptive learning S Nageshrao, HE Tseng, DP Filev, RL Baker, C Cruise, L Daehler, ... US Patent 10,733,510, 2020 | 18 | 2020 |
| Precise Registration of Laser Mapping Data by Planar Feature Extraction for Deformation Monitoring A Kusari, C Glennie, B Brooks, T Ericksen IEEE Transactions on Geoscience and Remote Sensing 57 (6), 3404 - 3422, 2018 | 12 | 2018 |
| Precise registration of laser mapping data by planar feature extraction for deformation monitoring A Kusari University of Houston, 2015 | 12* | 2015 |
| A novel traffic simulation framework for testing autonomous vehicles using sumo and carla P Li, A Kusari, DJ LeBlanc arXiv preprint arXiv:2110.07111, 2021 | 8 | 2021 |
| Vehicle neural network processing A Kusari US Patent 10,831,208, 2020 | 8 | 2020 |
| A probabilistic framework for estimating the risk of pedestrian-vehicle conflicts at intersections P Li, H Guo, S Bao, A Kusari IEEE Transactions on Intelligent Transportation Systems, 2023 | 2 | 2023 |
| Assessing and accelerating coverage in deep reinforcement learning A Kusari arXiv preprint arXiv:2012.00724, 2020 | 2 | 2020 |
| Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning A Kusari, JP How 2020 IEEE International Conference on Robotics and Automation (ICRA), 7484-7490, 2020 | 2 | 2020 |
| Driving style classification and the effectiveness of advanced driving assistance systems: differences between teen and adult drivers D Ammar, M Li, B Yu, H Guo, B Lin, A Kusari, E Pulver, S Bao Transportation research record 2677 (12), 731-742, 2023 | 1 | 2023 |
| Graph-theoretical approach to robust 3D normal extraction of LiDAR data A Kusari, W Sun ISPRS Annals 2022, 2022 | 1 | 2022 |
| Real-time indoor mapping by fusion of structured light sensors A Kusari, Z Pan, C Glennie 2014 Ubiquitous Positioning Indoor Navigation and Location Based Service …, 2014 | 1 | 2014 |
| Demystifying Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making H Wan, P Li, A Kusari arXiv preprint arXiv:2403.11432, 2024 | | 2024 |
| Object level footprint uncertainty quantification in infrastructure based sensing A Kusari, AA Almutairi, ME Gilbert, DJ LeBlanc IEEE Sensors Journal, 2024 | | 2024 |
| State of Modeling and Simulation in Autonomous Vehicles A Kusari Autonomous Vehicles and Systems A Technological and Societal Perspective, 2024 | | 2024 |
| Operational requirements for localization in autonomous vehicles A Kusari, S Saha IROS 2023 Closing the Loop on Localization Workshop, 2023 | | 2023 |
| Uncertainty-aware Efficient Subgraph Isomorphism using Graph Topology A Kusari, W Sun arXiv preprint arXiv:2209.09090, 2022 | | 2022 |
